Home ›
Entities
› academia
› Logistic regression has similar performance to optimised machine learning algorithms in a clinical setting: application to the discrimination between type 1 and type 2 diabetes in young adults
Logistic regression has similar performance to optimised machine learning algorithms in a clinical setting: application to the discrimination between type 1 and type 2 diabetes in young adults
Research article (Diagnostic and Prognostic Research, 2020) · cited 135× · AI/ML
Logistic regression has similar performance to optimised machine learning algorithms in a clinical setting: application to the discrimination between type 1 and type 2 diabetes in young adults
Summary
Logistic regression has similar performance to optimised machine learning algorithms in a clinical setting: application to the discrimination between type 1 and type 2 diabetes in young adults is a scholarly article[1].
Key Facts
Logistic regression has similar performance to optimised machine learning algorithms in a clinical setting: application to the discrimination between type 1 and type 2 diabetes in young adults's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Logistic regression has similar performance to optimised machine learning algorithms in a clinical setting: application to the discrimination between type 1 and type 2 diabetes in young adults. Retrieved May 24, 2026, from https://4ort.xyz/entity/logistic-regression-has-similar-performance-to-optimised-machine-learning-algorithms-in-a-clinical-setting-application-t
MLA“Logistic regression has similar performance to optimised machine learning algorithms in a clinical setting: application to the discrimination between type 1 and type 2 diabetes in young adults.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/logistic-regression-has-similar-performance-to-optimised-machine-learning-algorithms-in-a-clinical-setting-application-t.
BibTeX@misc{4ortxyz_logistic-regression-has-similar-performance-to-optimised-machine-learning-algorithms-in-a-clinical-setting-application-t_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Logistic regression has similar performance to optimised machine learning algorithms in a clinical setting: application to the discrimination between type 1 and type 2 diabetes in young adults}}, year = {2026}, url = {https://4ort.xyz/entity/logistic-regression-has-similar-performance-to-optimised-machine-learning-algorithms-in-a-clinical-setting-application-t}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Logistic regression has similar performance to optimised machine learning algorithms in a clinical setting: application to the discrimination between type 1 and type 2 diabetes in young adults — https://4ort.xyz/entity/logistic-regression-has-similar-performance-to-optimised-machine-learning-algorithms-in-a-clinical-setting-application-t (retrieved 2026-05-24)
